{"id":"https://openalex.org/W2891737721","doi":"https://doi.org/10.1109/tcst.2018.2865130","title":"Quality-Driven Principal Component Analysis Combined With Kernel Least Squares for Multivariate Statistical Process Monitoring","display_name":"Quality-Driven Principal Component Analysis Combined With Kernel Least Squares for Multivariate Statistical Process Monitoring","publication_year":2018,"publication_date":"2018-09-05","ids":{"openalex":"https://openalex.org/W2891737721","doi":"https://doi.org/10.1109/tcst.2018.2865130","mag":"2891737721"},"language":"en","primary_location":{"id":"doi:10.1109/tcst.2018.2865130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcst.2018.2865130","pdf_url":null,"source":{"id":"https://openalex.org/S133363738","display_name":"IEEE Transactions on Control Systems Technology","issn_l":"1063-6536","issn":["1063-6536","1558-0865","2374-0159"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Control Systems Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021644560","display_name":"Junping Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junping Huang","raw_affiliation_strings":["Key Laboratory of Advanced Control and Optimization for Chemical Processes of the Ministry of Education, East China University of Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Control and Optimization for Chemical Processes of the Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000809799","display_name":"Xuefeng Yan","orcid":"https://orcid.org/0000-0001-5622-8686"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefeng Yan","raw_affiliation_strings":["Key Laboratory of Advanced Control and Optimization for Chemical Processes of the Ministry of Education, East China University of Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Control and Optimization for Chemical Processes of the Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5021644560"],"corresponding_institution_ids":["https://openalex.org/I143593769"],"apc_list":null,"apc_paid":null,"fwci":3.1268,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.92274729,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"27","issue":"6","first_page":"2688","last_page":"2695"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12282","display_name":"Mineral Processing and Grinding","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.8263201713562012},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.7257071137428284},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7149492502212524},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6982161402702332},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6393517255783081},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6203833222389221},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.5916144847869873},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.51088947057724},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4857805073261261},{"id":"https://openalex.org/keywords/principal-component-regression","display_name":"Principal component regression","score":0.48053938150405884},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.4376695156097412},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4376068711280823},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42817339301109314},{"id":"https://openalex.org/keywords/orthographic-projection","display_name":"Orthographic projection","score":0.42790931463241577},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42280113697052},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.41029033064842224},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38866448402404785},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28427186608314514},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.12392467260360718}],"concepts":[{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.8263201713562012},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.7257071137428284},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7149492502212524},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6982161402702332},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6393517255783081},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6203833222389221},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.5916144847869873},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.51088947057724},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4857805073261261},{"id":"https://openalex.org/C74887250","wikidata":"https://www.wikidata.org/wiki/Q3455892","display_name":"Principal component regression","level":3,"score":0.48053938150405884},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.4376695156097412},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4376068711280823},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42817339301109314},{"id":"https://openalex.org/C175694140","wikidata":"https://www.wikidata.org/wiki/Q980329","display_name":"Orthographic projection","level":2,"score":0.42790931463241577},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42280113697052},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.41029033064842224},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38866448402404785},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28427186608314514},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.12392467260360718},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcst.2018.2865130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcst.2018.2865130","pdf_url":null,"source":{"id":"https://openalex.org/S133363738","display_name":"IEEE Transactions on Control Systems Technology","issn_l":"1063-6536","issn":["1063-6536","1558-0865","2374-0159"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Control Systems Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6905653140","display_name":null,"funder_award_id":"21878081","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W219084219","https://openalex.org/W771331471","https://openalex.org/W1993930017","https://openalex.org/W1994505190","https://openalex.org/W1995846733","https://openalex.org/W2004186751","https://openalex.org/W2018201690","https://openalex.org/W2028590934","https://openalex.org/W2052828853","https://openalex.org/W2103711750","https://openalex.org/W2116492734","https://openalex.org/W2128921897","https://openalex.org/W2137015384","https://openalex.org/W2140095548","https://openalex.org/W2158958729","https://openalex.org/W2166042538","https://openalex.org/W2170835861","https://openalex.org/W2201427885","https://openalex.org/W2296067929","https://openalex.org/W2322097696","https://openalex.org/W2339128530","https://openalex.org/W2413579316","https://openalex.org/W2547447309","https://openalex.org/W2567394033","https://openalex.org/W2586354808","https://openalex.org/W2595481439","https://openalex.org/W4249625715"],"related_works":["https://openalex.org/W2388959921","https://openalex.org/W5114324","https://openalex.org/W2803426353","https://openalex.org/W4318562271","https://openalex.org/W2890196891","https://openalex.org/W2375053148","https://openalex.org/W3078753841","https://openalex.org/W4318142392","https://openalex.org/W4385376269","https://openalex.org/W2097905957"],"abstract_inverted_index":{"This":[0],"brief":[1],"discusses":[2],"a":[3,15,94,135,163],"novel":[4],"quality-driven":[5],"principal":[6],"component":[7],"analysis":[8],"method":[9,77],"for":[10],"statistical":[11,122],"process":[12,39,142],"monitoring.":[13],"Through":[14],"nonlinear":[16],"mapping,":[17],"the":[18,30,34,38,45,48,55,87,90,108,112,139,145,151,168],"original":[19,91],"measurement":[20],"space":[21,36,57,92,96,165],"is":[22,78,97,105,160],"mapped":[23],"to":[24,80,93,99,106,126,173,177],"another":[25],"high-dimensional":[26,35,56,66,95],"space,":[27],"and":[28,37,71,138,167],"then":[29],"relevant":[31],"information":[32],"between":[33],"quality":[40,158],"can":[41],"be":[42,59,174],"obtained":[43],"with":[44],"help":[46],"of":[47,84,114,150,157],"kernel":[49],"least":[50],"squares.":[51],"Based":[52],"on":[53,134],"this,":[54],"will":[58],"further":[60],"projected":[61],"onto":[62],"two":[63],"mutually":[64],"orthogonal":[65],"subspaces":[67],"representing":[68],"quality-related":[69],"part":[70],"quality-unrelated":[72],"part,":[73],"respectively.":[74],"The":[75,102,155],"traditional":[76],"difficult":[79],"achieve":[81],"this":[82],"type":[83],"projection":[85,109],"because":[86],"mapping":[88],"from":[89],"hard":[98],"calculate":[100],"explicitly.":[101],"main":[103],"contribution":[104],"derive":[107],"matrix":[110,115],"using":[111],"knowledge":[113],"theory.":[116],"For":[117],"each":[118],"subspace,":[119],"some":[120,149],"meaningful":[121],"indicators":[123],"are":[124],"constructed":[125],"give":[127],"more":[128],"targeted":[129],"fault":[130,169],"information.":[131],"Case":[132],"studies":[133],"numerical":[136],"instance":[137],"Tennessee":[140],"Eastman":[141],"indicate":[143],"that":[144],"proposed":[146],"approach":[147],"outperforms":[148],"current":[152],"research":[153],"results.":[154],"reliability":[156],"monitoring":[159,179],"improved":[161],"through":[162],"proper":[164],"decomposition,":[166],"detection":[170],"rate":[171],"turns":[172],"higher":[175],"due":[176],"reasonable":[178],"indicators.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}